Session Description

Interactive information visualization tools provide researchers and practitioners with remarkable capabilities to support discovery, reveal unexpected insights into collected information, and reveal patterns and connections. Information visualization is the best way to navigate massive amount of information. These telescopes for high-dimensional data combine powerful statistical methods with user-controlled interfaces. Users can begin with an overview, zoom in on areas of interest, filter out unwanted items, and then click for details-on-demand.

This talk reviews rapidly growing interest in data discovery and visualization considering such examples as Spotfire, Tableau, and Qlikview. The central theme is the integration of statistics with visualization.

Featured Presenter(s)

Ben Shneiderman is a Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory at the University of Maryland. He is a Fellow of the AAAS, ACM, and IEEE, and a Member of the National Academy of Engineering.